DocumentCode
897709
Title
On the selection of median structure for image filtering
Author
Reeves, Stanley J.
Author_Institution
Dept. of Electr. Eng., Auburn Univ., AL, USA
Volume
42
Issue
8
fYear
1995
fDate
8/1/1995 12:00:00 AM
Firstpage
556
Lastpage
558
Abstract
Median filtering is a powerful tool for reducing noise in images, particular for long-tailed noise distributions. However, the choice of filter mask is critical. The proper choice depends on the image and noise statistics, which are often unknown. We propose cross-validation as a method for selecting a median filter structure directly from the corrupted image data. This method requires no knowledge of the statistics of the noise or image. We demonstrate the value of this method with several examples
Keywords
filtering theory; image enhancement; median filters; corrupted image data; cross-validation; filter mask; image filtering; long-tailed noise distributions; median filter structure; median structure selection; noise reduction; Additive noise; Data analysis; Filtering; Filters; Image restoration; Laplace equations; Maximum likelihood estimation; Noise reduction; Statistical distributions; Statistics;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.404089
Filename
404089
Link To Document